{"id":"W1998182128","doi":"10.1109/cicc.2007.4405767","title":"Reverse Engineering in the Semiconductor Industry","year":2007,"lang":"en","type":"article","venue":"","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chipworks (Canada)","funders":"","keywords":"Schematic; Transistor; Microprocessor; Reverse engineering; Semiconductor industry; Chip; Process (computing); Computer science; Semiconductor device fabrication; Electrical engineering; Manufacturing engineering; Engineering; Electronic engineering; Voltage; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004129197,0.0007321147,0.0006064169,0.002199572,0.001968754,0.005115134,0.0009946583,0.002858372,0.005502006],"category_scores_gemma":[0.007738547,0.000465284,0.0006988012,0.002090335,0.005409601,0.006890421,0.002858025,0.004116553,0.003200216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001857365,"about_ca_system_score_gemma":0.002088516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001213927,"about_ca_topic_score_gemma":0.001218134,"domain_scores_codex":[0.9958615,0.001298986,0.0001831456,0.0003837343,0.001997715,0.0002748814],"domain_scores_gemma":[0.993346,0.003544925,0.0003674053,0.0012317,0.001377295,0.0001326661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002502212,0.0000476413,0.0005273193,0.0004132653,0.00001184697,0.0004640976,0.0009940357,0.00212143,0.003114365,0.7486686,0.01191373,0.2316986],"study_design_scores_gemma":[0.00001509084,0.0001486543,0.000396489,0.0004798401,0.00002040858,0.001996788,0.0008572952,0.004574428,0.009403941,0.4901067,0.4919372,0.00006317959],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02255171,0.1212214,0.4616584,0.02746802,0.004726815,0.0001880017,0.0001033413,0.001068829,0.3610135],"genre_scores_gemma":[0.3659519,0.1518018,0.3221179,0.01233969,0.003292697,0.0003262351,0.0002509718,0.0006348016,0.1432839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005502006,"threshold_uncertainty_score":0.02183759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1162145116887665,"score_gpt":0.2224088645728095,"score_spread":0.1061943528840429,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}